Course manual 2024/2025

Course content

The course covers formalisms and languages for representing knowledge and data, particularly in environments where that information needs to be shared. We use data from the Web as the main example. Students will gain experience with linked graph data representation, query languages, formats, formalisms and infrastructures (e.g. RDF, RDFS, SPARQL, OWL) used in these environments. The course covers both the theoretical and the practical aspects of working with knowledge and data.

Study materials

Literature

Objectives

  • Learn the requirements of representing knowledge at Web scale
  • Learn to use web query and modeling languages (e.g. RDF, RDFS, SPARQL, OWL, SHACL) and automatic reasoning capabilities
  • Obtain familiarity with the research fields of Semantic Web, Knowledge Graphs, Knowledge Representation, Information Extraction
  • Learn how to create ontologies, query and validate them.

Teaching methods

  • Lecture
  • Self-study
  • Computer lab session/practical training
  • Supervision/feedback meeting

Learning activities

Activity

Hours

Hoorcollege

14

Laptopcollege

14

Tentamen digitaal

3

Self study

137

Total

168

(6 EC x 28 uur)

Attendance

Programme's requirements concerning attendance (OER-B):

  • For practical trainings and tutorials, with assignments, attendance is obligatory, unless stated differently in the course catalogue. When students do not meet the requirements for attendance, he or she cannot finish the course with a pass mark. The requirements concerning attendance for lectures/seminars, if applicable, are stated in the course catalogue.

Assessment

Item and weight Details

Final grade

0.7 (100%)

Tentamen digitaal

The assessment is done based on the weekly exercises (30%), and the final exam (70%).

For grading exams, we follow in this course the rules of the OER, which can be found at https://student.uva.nl/onderwerpen/onderwijs-en-examenregelingen-oer

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Weeknummer Onderwerpen Studiestof
1 Semantic Web  
2 RDF / RDFS  
3 Ontologies 1  
4 Ontologies 2  
5 SPARQL  
6 SHACL  
7 Linked Data  

 

Contact information

Coordinator

  • Victoria Degeler

Lecturers

  • dr. Victoria Degeler
  • dr. Lise Stork

Teaching Assistants

  • E. Karabulut MSc
  • Kato Schmidt
  • Ana Wissa
  • Anna van der Zee